Bertrand Chameroy
Télé-travailleur 📺 L'ABC dans @cavousF5 du lundi au vendredi
1,029,637
Followers
2,622
Following
8,265
Tweets
764.4
Avg Engagement
747
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @bchameroy's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Mega Influencer (1M+)
- Account Age:2010-04-11
- Verification:No
- Location:Paris
Data Summary
- Tweets Analyzed:3,221
- Avg Likes per Tweet:149.5
- Avg Retweets per Tweet:614.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,221 tweetsbchameroy's tweets receive a high average number of likes and retweets, indicating strong audience interaction. Their content is both relatable and impactful, encouraging further discussion.
149.5
Avg Likes/Tweet
614.9
Avg Retweets/Tweet
481,448
Total Likes
1,980,624
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
17
Median Retweets
226
75th Percentile
280,333
Top Tweet
0.74
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
17.0%
Original
38.2%
Replies
35.4%
Retweets
9.3%
Quotes
0.0%
Threads
0.7%
With Media
49.2%
With Links
32.6%
With #Tags
79.6%
With @Mentions
32.4%
With Emojis
84
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.25
Reply/Original Ratio
0.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
88.8%
Weekday Posts
11.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,221 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 1,141 retweets (35% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,221 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 50,000 followersThe audience primarily consists of interested followers who engage with thought-provoking and personal content. They are likely to be fans of television, social media, and public discourse.
Average
Audience Quality
28.3%
Suspicion Index
36.9%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.7%
Empty Bio
33.8%
<10 Tweets
8.2%
Mass Following (>2K)
0.0%
New (<90 days)
61.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.9%
No URL
23.0%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
56,102,761
Total Potential Reach
16
Median Follower Reach
100
75th Percentile Reach
5.9%
>1K followers
1.0%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
45.2%
Creators
22,625 accounts
21.0%
Consumers
10,487 accounts
33.8%
Dormant
16,888 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
627
Verified Followers
0.62% of total
7,153
Protected Accounts
7.08% of total
6 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @JohnCena | 14,105,325 | Wrestler | Wrestling, Motivation, Self-promotion |
| @beinsports_FR | 3,569,070 | Sports broadcaster | Sports, Spectacles, Abonnement |
| @zlj517 | 1,995,924 | Spokesman | Geopolitics, Diplomacy, Communication |
| @RTLFrance | 1,153,442 | News Outlet | - |
| @benamar31 | 673,158 | Journalist | Journalism, Algeria, Opinions |
| @France5tv | 668,507 | - | - |
| @DamidotValerie | 635,714 | Interior Designer | Home decor, DIY, Lifestyle |
| @Fanny_Agostini | 576,103 | Journaliste | Climate, Journalism, Environment |
| @mohamedbouhafsi | 567,008 | Journalist | Football, Chief Editor, Parrain |
| @jmaphatie | 530,424 | Journalist | Media criticism, Journalism, Subjectivity |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,549
Followers With Bio
56,450
Followers Without Bio
44.11%
% With Bio
55.89%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,221 analyzed885,066
Combined Engagement
0
Total Likes
885,066
Total Retweets
177,013
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @romainrevert: Due to less air pollution the sky is so clear ! I can see the Universal logo ! https://t.co/EqiqIDL4JJ
RT @VancityReynolds: Happy Birthday to my amazing wife. https://t.co/7vulMXqOdp
RT @Stranger_Things: Darkness falls across the land… Here is the first trailer for #StrangerThings2. https://t.co/534mDf1Os2
RT @BrukDiana: Omg. https://t.co/oeRO4FBVmt
RT @equipedefrance: CHAMPIONS DU MONNNNNNNNNNNDE ⭐⭐ #FiersdetreBleus https://t.co/ouMN5PkMJl
Key Insights & Takeaways
Their personal life and career are often shared, offering a glimpse into their journey. They frequently engage with social and political topics, sparking debate. They use personal experiences to highlight broader societal issues.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,029,637
- + High community engagement through conversations
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @bchameroy reveals an well-established Twitter presence with 1,029,637 followers. The account demonstrates a conversation-first approach, averaging 764.4 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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